Nature-inspired Optimization Algorithms

Info autore

Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader in Modelling and Simulation at Middlesex University London, Fellow of the Institute of Mathematics and its Application (IMA) and a Book Series Co-Editor of the Springer Tracts in Nature-Inspired Computing. He has published more than 25 books and more than 400 peer-reviewed research publications with over 82000 citations, and he has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years (2016-2022).

Dettagli sul prodotto

• Autori: Xin-She Yang, Xin-She (School of Science and Technology Yang, Yang Xin-She
• Editore: Academic Press London
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 31.12.2020
• EAN: 9780128219867
• ISBN: 978-0-12-821986-7
• Pagine: 332
• Categorie: Scienze naturali, medicina, informatica, tecnica > Medicina > Farmacia; SCIENCE / Biotechnology, TECHNOLOGY & ENGINEERING / Biomedical, biotechnology, Biomedical engineering, Biomedical engineering / Medical engineering